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  <title>参考文献 | 使用 R 语言分析 LI-6400 和 LI-6800 光合仪的数据</title>
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<ul class="summary">
<li><a href="./">R 软件与光合数据分析</a></li>

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<li class="chapter" data-level="" data-path="index.html"><a href="index.html"><i class="fa fa-check"></i>欢迎</a></li>
<li class="chapter" data-level="" data-path="frontmatter.html"><a href="frontmatter.html"><i class="fa fa-check"></i>前言</a></li>
<li class="chapter" data-level="" data-path="copyright.html"><a href="copyright.html"><i class="fa fa-check"></i>版权</a></li>
<li class="chapter" data-level="1" data-path="intro.html"><a href="intro.html"><i class="fa fa-check"></i><b>1</b> R 软件与 Rstudio</a>
<ul>
<li class="chapter" data-level="1.1" data-path="intro.html"><a href="intro.html#rsoft"><i class="fa fa-check"></i><b>1.1</b> R 软件</a></li>
<li class="chapter" data-level="1.2" data-path="intro.html"><a href="intro.html#rstudiosoft"><i class="fa fa-check"></i><b>1.2</b> Rstudio</a></li>
</ul></li>
<li class="chapter" data-level="2" data-path="batch_question.html"><a href="batch_question.html"><i class="fa fa-check"></i><b>2</b> 批量处理光合测定数据</a>
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<li class="chapter" data-level="2.1" data-path="batch_question.html"><a href="batch_question.html#install_readphoto"><i class="fa fa-check"></i><b>2.1</b> 安装</a></li>
<li class="chapter" data-level="2.2" data-path="batch_question.html"><a href="batch_question.html#batch64"><i class="fa fa-check"></i><b>2.2</b> LI-6400 数据处理</a>
<ul>
<li class="chapter" data-level="2.2.1" data-path="batch_question.html"><a href="batch_question.html#li-6400-数据的整合6400combine"><i class="fa fa-check"></i><b>2.2.1</b> LI-6400 数据的整合{#6400combine}</a></li>
<li class="chapter" data-level="2.2.2" data-path="batch_question.html"><a href="batch_question.html#recompute6400"><i class="fa fa-check"></i><b>2.2.2</b> LI-6400 数据重计算</a></li>
</ul></li>
<li class="chapter" data-level="2.3" data-path="batch_question.html"><a href="batch_question.html#li-6800-数据的处理-6800data"><i class="fa fa-check"></i><b>2.3</b> LI-6800 数据的处理 {#6800data}</a>
<ul>
<li class="chapter" data-level="2.3.1" data-path="batch_question.html"><a href="batch_question.html#r-下-excel-格式读取的重计算-6800xlconnect"><i class="fa fa-check"></i><b>2.3.1</b> R 下 Excel 格式读取的重计算 {##6800xlconnect}</a></li>
<li class="chapter" data-level="2.3.2" data-path="batch_question.html"><a href="batch_question.html#python"><i class="fa fa-check"></i><b>2.3.2</b> 使用 Python 来处理</a></li>
<li class="chapter" data-level="2.3.3" data-path="batch_question.html"><a href="batch_question.html#python-r-batch"><i class="fa fa-check"></i><b>2.3.3</b> 批量处理 csv 文件</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="3" data-path="response_fit.html"><a href="response_fit.html"><i class="fa fa-check"></i><b>3</b> CO<sub>2</sub> 响应曲线的拟合</a>
<ul>
<li class="chapter" data-level="3.1" data-path="response_fit.html"><a href="response_fit.html#fvcb_mod"><i class="fa fa-check"></i><b>3.1</b> FvCB 模型</a></li>
<li class="chapter" data-level="3.2" data-path="response_fit.html"><a href="response_fit.html#co2_note"><i class="fa fa-check"></i><b>3.2</b> CO<sub>2</sub> 响应曲线测量的注意事项</a>
<ul>
<li class="chapter" data-level="3.2.1" data-path="response_fit.html"><a href="response_fit.html#model_3"><i class="fa fa-check"></i><b>3.2.1</b> 分段性</a></li>
<li class="chapter" data-level="3.2.2" data-path="response_fit.html"><a href="response_fit.html#note_detail"><i class="fa fa-check"></i><b>3.2.2</b> 测量注意事项</a></li>
</ul></li>
<li class="chapter" data-level="3.3" data-path="response_fit.html"><a href="response_fit.html#plantecophys"><i class="fa fa-check"></i><b>3.3</b> <code>plantecophys</code> 软件包</a></li>
<li class="chapter" data-level="3.4" data-path="response_fit.html"><a href="response_fit.html#fit6400"><i class="fa fa-check"></i><b>3.4</b> LI-6400XT CO<sub>2</sub> 响应曲线的拟合</a>
<ul>
<li class="chapter" data-level="3.4.1" data-path="response_fit.html"><a href="response_fit.html#fitaci_intro"><i class="fa fa-check"></i><b>3.4.1</b> fitaci 函数介绍</a></li>
</ul></li>
<li class="chapter" data-level="3.5" data-path="response_fit.html"><a href="response_fit.html#plantecophy_use"><i class="fa fa-check"></i><b>3.5</b> 使用 <code>plantecophys</code> 拟合 LI-6400XT CO<sub>2</sub> 响应曲线数据</a>
<ul>
<li class="chapter" data-level="3.5.1" data-path="response_fit.html"><a href="response_fit.html#data6400"><i class="fa fa-check"></i><b>3.5.1</b> 数据的前处理</a></li>
<li class="chapter" data-level="3.5.2" data-path="response_fit.html"><a href="response_fit.html#fitaci-p"><i class="fa fa-check"></i><b>3.5.2</b> 使用示例</a></li>
<li class="chapter" data-level="3.5.3" data-path="response_fit.html"><a href="response_fit.html#onpoint_fit"><i class="fa fa-check"></i><b>3.5.3</b> 使用 ‘onepoint’ 单独计算 V<sub>cmax</sub> 和 J<sub>max</sub></a></li>
<li class="chapter" data-level="3.5.4" data-path="response_fit.html"><a href="response_fit.html#multi_curve"><i class="fa fa-check"></i><b>3.5.4</b> 多条 CO<sub>2</sub> 响应曲线的拟合</a></li>
<li class="chapter" data-level="3.5.5" data-path="response_fit.html"><a href="response_fit.html#transition"><i class="fa fa-check"></i><b>3.5.5</b> <code>findCiTransition</code> 函数</a></li>
</ul></li>
<li class="chapter" data-level="3.6" data-path="response_fit.html"><a href="response_fit.html#c4"><i class="fa fa-check"></i><b>3.6</b> C4 植物光合</a>
<ul>
<li class="chapter" data-level="3.6.1" data-path="response_fit.html"><a href="response_fit.html#c4_sim"><i class="fa fa-check"></i><b>3.6.1</b> C4 植物光合速率的计算</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="4" data-path="stomotal_sim.html"><a href="stomotal_sim.html"><i class="fa fa-check"></i><b>4</b> 气孔导度模型的拟合</a>
<ul>
<li class="chapter" data-level="4.1" data-path="stomotal_sim.html"><a href="stomotal_sim.html#ballberry"><i class="fa fa-check"></i><b>4.1</b> BallBerry 模型</a></li>
<li class="chapter" data-level="4.2" data-path="stomotal_sim.html"><a href="stomotal_sim.html#bbleuning"><i class="fa fa-check"></i><b>4.2</b> BBLeuning 模型</a></li>
<li class="chapter" data-level="4.3" data-path="stomotal_sim.html"><a href="stomotal_sim.html#bboptifull"><i class="fa fa-check"></i><b>4.3</b> BBOptiFull 模型</a></li>
<li class="chapter" data-level="4.4" data-path="stomotal_sim.html"><a href="stomotal_sim.html#fitbb-p"><i class="fa fa-check"></i><b>4.4</b> <code>fitBB</code> 函数</a></li>
<li class="chapter" data-level="4.5" data-path="stomotal_sim.html"><a href="stomotal_sim.html#fitbbs"><i class="fa fa-check"></i><b>4.5</b> <code>fitBBs</code> 函数</a></li>
</ul></li>
<li class="chapter" data-level="5" data-path="stomotal_couple.html"><a href="stomotal_couple.html"><i class="fa fa-check"></i><b>5</b> 光合最优气孔导度耦合模型</a>
<ul>
<li class="chapter" data-level="5.1" data-path="stomotal_couple.html"><a href="stomotal_couple.html#farao"><i class="fa fa-check"></i><b>5.1</b> <code>FARAO</code> 函数</a></li>
</ul></li>
<li class="chapter" data-level="6" data-path="photo_stomo.html"><a href="photo_stomo.html"><i class="fa fa-check"></i><b>6</b> 光合气孔导度耦合模型</a>
<ul>
<li class="chapter" data-level="6.1" data-path="photo_stomo.html"><a href="photo_stomo.html#photosyn"><i class="fa fa-check"></i><b>6.1</b> <code>Photosyn</code> 函数</a>
<ul>
<li class="chapter" data-level="6.1.1" data-path="photo_stomo.html"><a href="photo_stomo.html#photo_exam"><i class="fa fa-check"></i><b>6.1.1</b> <code>Photosyn</code> 使用举例</a></li>
</ul></li>
<li class="chapter" data-level="6.2" data-path="photo_stomo.html"><a href="photo_stomo.html#photsyneb"><i class="fa fa-check"></i><b>6.2</b> <code>PhotosynEB</code> 函数</a></li>
<li class="chapter" data-level="6.3" data-path="photo_stomo.html"><a href="photo_stomo.html#photosyntuzet"><i class="fa fa-check"></i><b>6.3</b> <code>PhotosynTuzet</code> 函数</a>
<ul>
<li class="chapter" data-level="6.3.1" data-path="photo_stomo.html"><a href="photo_stomo.html#photosyntuzet_para"><i class="fa fa-check"></i><b>6.3.1</b> <code>PhotosynTuzet</code> 的参数</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="7" data-path="rhtovpd.html"><a href="rhtovpd.html"><i class="fa fa-check"></i><b>7</b> RHtoVPD 函数</a></li>
<li class="chapter" data-level="8" data-path="lrc_fit.html"><a href="lrc_fit.html"><i class="fa fa-check"></i><b>8</b> 光响应曲线的拟合</a>
<ul>
<li class="chapter" data-level="8.1" data-path="lrc_fit.html"><a href="lrc_fit.html#rec_mod"><i class="fa fa-check"></i><b>8.1</b> 直角双曲线模型</a>
<ul>
<li class="chapter" data-level="8.1.1" data-path="lrc_fit.html"><a href="lrc_fit.html#rec_fit"><i class="fa fa-check"></i><b>8.1.1</b> 直角双曲线模型的实现</a></li>
</ul></li>
<li class="chapter" data-level="8.2" data-path="lrc_fit.html"><a href="lrc_fit.html#nonrec-mod"><i class="fa fa-check"></i><b>8.2</b> 非直角双曲线模型</a>
<ul>
<li class="chapter" data-level="8.2.1" data-path="lrc_fit.html"><a href="lrc_fit.html#nonrec_mode_exam"><i class="fa fa-check"></i><b>8.2.1</b> 非直角双曲线模型的实现</a></li>
</ul></li>
<li class="chapter" data-level="8.3" data-path="lrc_fit.html"><a href="lrc_fit.html#lrc_exp"><i class="fa fa-check"></i><b>8.3</b> 指数模型</a>
<ul>
<li class="chapter" data-level="8.3.1" data-path="lrc_fit.html"><a href="lrc_fit.html#lrc_exp_exam"><i class="fa fa-check"></i><b>8.3.1</b> 指数模型的实现</a></li>
</ul></li>
<li class="chapter" data-level="8.4" data-path="lrc_fit.html"><a href="lrc_fit.html#rev_rec"><i class="fa fa-check"></i><b>8.4</b> 直角双曲线的修正模型</a>
<ul>
<li class="chapter" data-level="8.4.1" data-path="lrc_fit.html"><a href="lrc_fit.html#rev_rec_exam"><i class="fa fa-check"></i><b>8.4.1</b> 直角双曲线修正模型的实现</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="9" data-path="start_con.html"><a href="start_con.html"><i class="fa fa-check"></i><b>9</b> 关于非线性拟合的初始值</a>
<ul>
<li class="chapter" data-level="9.1" data-path="start_con.html"><a href="start_con.html#nlslm"><i class="fa fa-check"></i><b>9.1</b> nlsLM 解决方案</a></li>
<li class="chapter" data-level="9.2" data-path="start_con.html"><a href="start_con.html#plot_comp"><i class="fa fa-check"></i><b>9.2</b> 作图比对法</a>
<ul>
<li class="chapter" data-level="9.2.1" data-path="start_con.html"><a href="start_con.html#plot_exam"><i class="fa fa-check"></i><b>9.2.1</b> 实现过程</a></li>
<li class="chapter" data-level="9.2.2" data-path="start_con.html"><a href="start_con.html#show_demo"><i class="fa fa-check"></i><b>9.2.2</b> 直观展示</a></li>
</ul></li>
<li class="chapter" data-level="9.3" data-path="start_con.html"><a href="start_con.html#mult_try"><i class="fa fa-check"></i><b>9.3</b> 自动多次尝试法</a></li>
<li class="chapter" data-level="9.4" data-path="start_con.html"><a href="start_con.html#sum_start"><i class="fa fa-check"></i><b>9.4</b> 小结</a></li>
</ul></li>
<li class="chapter" data-level="10" data-path="anay_6800.html"><a href="anay_6800.html"><i class="fa fa-check"></i><b>10</b> LI-6800 的数据分析</a>
<ul>
<li class="chapter" data-level="10.1" data-path="anay_6800.html"><a href="anay_6800.html#data6800"><i class="fa fa-check"></i><b>10.1</b> 数据格式</a></li>
<li class="chapter" data-level="10.2" data-path="anay_6800.html"><a href="anay_6800.html#dif"><i class="fa fa-check"></i><b>10.2</b> LI-6800 与 LI-6400 使用时的差别</a></li>
<li class="chapter" data-level="10.3" data-path="anay_6800.html"><a href="anay_6800.html#notice"><i class="fa fa-check"></i><b>10.3</b> 光响应曲线注意事项</a></li>
<li class="chapter" data-level="10.4" data-path="anay_6800.html"><a href="anay_6800.html#other_light_response"><i class="fa fa-check"></i><b>10.4</b> 其他软件包的光响应曲线</a></li>
<li class="chapter" data-level="10.5" data-path="anay_6800.html"><a href="anay_6800.html#racir68"><i class="fa fa-check"></i><b>10.5</b> LI-6800 RACiR的测量与拟合</a></li>
<li class="chapter" data-level="10.6" data-path="anay_6800.html"><a href="anay_6800.html#racir-conifer"><i class="fa fa-check"></i><b>10.6</b> LI-6800 RACiR簇状叶的测量与拟合</a></li>
<li class="chapter" data-level="10.7" data-path="anay_6800.html"><a href="anay_6800.html#multi1"><i class="fa fa-check"></i><b>10.7</b> 多个速率的 RACiR 曲线研究</a>
<ul>
<li class="chapter" data-level="10.7.1" data-path="anay_6800.html"><a href="anay_6800.html#multi2"><i class="fa fa-check"></i><b>10.7.1</b> 光呼吸滞后模型</a></li>
<li class="chapter" data-level="10.7.2" data-path="anay_6800.html"><a href="anay_6800.html#code-photoresp"><i class="fa fa-check"></i><b>10.7.2</b> 光呼吸滞后性代码</a></li>
<li class="chapter" data-level="10.7.3" data-path="anay_6800.html"><a href="anay_6800.html#multi4"><i class="fa fa-check"></i><b>10.7.3</b> 数据的构造</a></li>
<li class="chapter" data-level="10.7.4" data-path="anay_6800.html"><a href="anay_6800.html#multi5"><i class="fa fa-check"></i><b>10.7.4</b> 光呼吸滞后性作图</a></li>
<li class="chapter" data-level="10.7.5" data-path="anay_6800.html"><a href="anay_6800.html#multi6"><i class="fa fa-check"></i><b>10.7.5</b> 补偿点计算</a></li>
<li class="chapter" data-level="10.7.6" data-path="anay_6800.html"><a href="anay_6800.html#multi7"><i class="fa fa-check"></i><b>10.7.6</b> 无光呼吸酶失活模块</a></li>
<li class="chapter" data-level="10.7.7" data-path="anay_6800.html"><a href="anay_6800.html#multi9"><i class="fa fa-check"></i><b>10.7.7</b> 酶失活作图</a></li>
<li class="chapter" data-level="10.7.8" data-path="anay_6800.html"><a href="anay_6800.html#multi10"><i class="fa fa-check"></i><b>10.7.8</b> 不同失活程度下补偿点计算</a></li>
</ul></li>
<li class="chapter" data-level="10.8" data-path="anay_6800.html"><a href="anay_6800.html#multi11"><i class="fa fa-check"></i><b>10.8</b> 时间延迟的扩散限制</a>
<ul>
<li class="chapter" data-level="10.8.1" data-path="anay_6800.html"><a href="anay_6800.html#multi12"><i class="fa fa-check"></i><b>10.8.1</b> 扩散限制滞后性</a></li>
</ul></li>
<li class="chapter" data-level="10.9" data-path="anay_6800.html"><a href="anay_6800.html#multi13"><i class="fa fa-check"></i><b>10.9</b> 扩散限制作图</a>
<ul>
<li class="chapter" data-level="10.9.1" data-path="anay_6800.html"><a href="anay_6800.html#multi14"><i class="fa fa-check"></i><b>10.9.1</b> 补偿点的计算</a></li>
<li class="chapter" data-level="10.9.2" data-path="anay_6800.html"><a href="anay_6800.html#multi15"><i class="fa fa-check"></i><b>10.9.2</b> 所有图形代码</a></li>
</ul></li>
<li class="chapter" data-level="10.10" data-path="anay_6800.html"><a href="anay_6800.html#fluro68"><i class="fa fa-check"></i><b>10.10</b> LI-6800 荧光数据分析</a>
<ul>
<li class="chapter" data-level="10.10.1" data-path="anay_6800.html"><a href="anay_6800.html#jiptest"><i class="fa fa-check"></i><b>10.10.1</b> jip test 的实现</a></li>
<li class="chapter" data-level="10.10.2" data-path="anay_6800.html"><a href="anay_6800.html#jiptest_pack"><i class="fa fa-check"></i><b>10.10.2</b> <code>jiptest</code> 软件包安装</a></li>
<li class="chapter" data-level="10.10.3" data-path="anay_6800.html"><a href="anay_6800.html#readfluor"><i class="fa fa-check"></i><b>10.10.3</b> <code>read_files</code> 及 <code>read_dcfiles</code> 函数</a></li>
<li class="chapter" data-level="10.10.4" data-path="anay_6800.html"><a href="anay_6800.html#testfluor"><i class="fa fa-check"></i><b>10.10.4</b> <code>jip_test</code> 及 <code>jip_dctest</code> 函数</a></li>
<li class="chapter" data-level="10.10.5" data-path="anay_6800.html"><a href="anay_6800.html#plotfluor"><i class="fa fa-check"></i><b>10.10.5</b> 图像查看函数</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="11" data-path="big-leaf.html"><a href="big-leaf.html"><i class="fa fa-check"></i><b>11</b> 大叶模型</a>
<ul>
<li class="chapter" data-level="11.1" data-path="big-leaf.html"><a href="big-leaf.html#leaf-scale-meas"><i class="fa fa-check"></i><b>11.1</b> 叶片尺度测量</a></li>
<li class="chapter" data-level="11.2" data-path="big-leaf.html"><a href="big-leaf.html#big-leaf-data"><i class="fa fa-check"></i><b>11.2</b> 数据的处理</a>
<ul>
<li class="chapter" data-level="11.2.1" data-path="big-leaf.html"><a href="big-leaf.html#single-data-big-leaf"><i class="fa fa-check"></i><b>11.2.1</b> 单个测量数据的处理</a></li>
<li class="chapter" data-level="11.2.2" data-path="big-leaf.html"><a href="big-leaf.html#big-leaf-data-MODEL"><i class="fa fa-check"></i><b>11.2.2</b> 大叶模型的数据处理</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="12" data-path="pca-anylysis.html"><a href="pca-anylysis.html"><i class="fa fa-check"></i><b>12</b> 大话 PCA</a>
<ul>
<li class="chapter" data-level="12.1" data-path="pca-anylysis.html"><a href="pca-anylysis.html#geom-pca"><i class="fa fa-check"></i><b>12.1</b> 几何解释</a></li>
<li class="chapter" data-level="12.2" data-path="pca-anylysis.html"><a href="pca-anylysis.html#alge-pca"><i class="fa fa-check"></i><b>12.2</b> 线性代数解释</a>
<ul>
<li class="chapter" data-level="12.2.1" data-path="pca-anylysis.html"><a href="pca-anylysis.html#egi-pca"><i class="fa fa-check"></i><b>12.2.1</b> 特征向量与特征值</a></li>
<li class="chapter" data-level="12.2.2" data-path="pca-anylysis.html"><a href="pca-anylysis.html#man_pca"><i class="fa fa-check"></i><b>12.2.2</b> 手动实现过程</a></li>
<li class="chapter" data-level="12.2.3" data-path="pca-anylysis.html"><a href="pca-anylysis.html#prcom"><i class="fa fa-check"></i><b>12.2.3</b> <code>prcomp</code> 的实现</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="13" data-path="sessioninfo.html"><a href="sessioninfo.html"><i class="fa fa-check"></i><b>13</b> 环境与配置</a></li>
<li class="chapter" data-level="" data-path="references.html"><a href="references.html"><i class="fa fa-check"></i>参考文献</a></li>
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            <i class="fa fa-circle-o-notch fa-spin"></i><a href="./">使用 R 语言分析 LI-6400 和 LI-6800 光合仪的数据</a>
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<h1>参考文献</h1>

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</div>
</div>
</div>
<div class="footnotes footnotes-end-of-document">
<hr />
<ol>
<li id="fn1"><p>实际上在Windows系统下安装的时候提供一个十分简陋的GUI。<a href="intro.html#fnref1" class="footnote-back">↩︎</a></p></li>
<li id="fn2"><p>特别注意，原始数据可以用文本编辑器打开，但为了方便使用这个软件包，准确输入与行号相关的参数，建议您使用带行号显示的软件，例如 windows 下的 notepad++<a href="batch_question.html#fnref2" class="footnote-back">↩︎</a></p></li>
<li id="fn3"><p>仅针对 C3 植物<a href="response_fit.html#fnref3" class="footnote-back">↩︎</a></p></li>
<li id="fn4"><p>具体参考 R 语言相关文档，为 R 语言最常用的数据格式<a href="response_fit.html#fnref4" class="footnote-back">↩︎</a></p></li>
<li id="fn5"><p>在 R 中，使用参数的值为默认值时可以不用填写该参数，例如使用默认选项分析 LI-6400 数据时，可只填写 data 项，具体参考
R 的相关入门手册<a href="response_fit.html#fnref5" class="footnote-back">↩︎</a></p></li>
<li id="fn6"><p>为Rubisco和RuBP限制的Ci转换点，物种间差异较大，可以通过预实验确定<a href="response_fit.html#fnref6" class="footnote-back">↩︎</a></p></li>
<li id="fn7"><p>若默认拟合方法失败，数据也无问题，那么是非线性拟合初始值设定的原因<a href="response_fit.html#fnref7" class="footnote-back">↩︎</a></p></li>
<li id="fn8"><p>即仅保留测量值，删除其他所有头文件、空行、 remark 等信息<a href="response_fit.html#fnref8" class="footnote-back">↩︎</a></p></li>
<li id="fn9"><p>首次使用安装，更换电脑或者升级 R 软件后，如果没有拷贝 library，也需要运行安装命令<a href="response_fit.html#fnref9" class="footnote-back">↩︎</a></p></li>
<li id="fn10"><p>需要注意，此时fitmethod一般推荐使用bilinear。<a href="response_fit.html#fnref10" class="footnote-back">↩︎</a></p></li>
<li id="fn11"><p>详细内容请参考原文<a href="photo_stomo.html#fnref11" class="footnote-back">↩︎</a></p></li>
<li id="fn12"><p>直角双曲线和非直角双曲线模型类似，如果测量时饱和光强之后光合速率不下降，则计算的P<span class="math inline">\(_{nmax}\)</span>则远大于实测值。<a href="lrc_fit.html#fnref12" class="footnote-back">↩︎</a></p></li>
<li id="fn13"><p>例如本例的数据结果<a href="lrc_fit.html#fnref13" class="footnote-back">↩︎</a></p></li>
<li id="fn14"><p>有些时候结果并不理想，该方法并不是万无一失<a href="start_con.html#fnref14" class="footnote-back">↩︎</a></p></li>
<li id="fn15"><p><a href="https://www.mathsisfun.com/definitions/bias.html" class="uri">https://www.mathsisfun.com/definitions/bias.html</a><a href="pca-anylysis.html#fnref15" class="footnote-back">↩︎</a></p></li>
<li id="fn16"><p><a href="https://en.wikipedia.org/wiki/Scaling_(geometry)" class="uri">https://en.wikipedia.org/wiki/Scaling_(geometry)</a><a href="pca-anylysis.html#fnref16" class="footnote-back">↩︎</a></p></li>
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